Non-random variation refers to differences or patterns observed in data that are not due to chance but rather caused by specific factors or variables. It indicates that there is some systematic influence affecting the outcome.
Random Variation: Random variation refers to natural variability or differences that occur in a population due to chance, without any systematic influence.
Confounding Variable: A confounding variable is an extraneous factor that affects both the independent and dependent variables, leading to spurious associations between them.
Bias: Bias occurs when there is a consistent deviation from true values or an over/underestimation of certain outcomes due to flaws in study design or data collection methods.
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